2k citations · 2.1k across the 28 of their papers we have counts for
11 papers · 1 filter
Precise Detection in Densely Packed Scenes
Eran Goldman, Roei Herzig, Aviv Eisenschtat +4
Man-made scenes can be densely packed, containing numerous objects, often identical, positioned in close proximity. We show that precise object detection in such scenes remains a c…
Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural Net
Ran Bakalo, Rami Ben-Ari, Jacob Goldberger
The high cost of generating expert annotations, poses a strong limitation for supervised machine learning methods in medical imaging. Weakly supervised methods may provide a soluti…
Weakly and Semi Supervised Detection in Medical Imaging via Deep Dual Branch Net
Ran Bakalo, Jacob Goldberger, Rami Ben-Ari
This study presents a novel deep learning architecture for multi-class classification and localization of abnormalities in medical imaging illustrated through experiments on mammog…
Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation
Eytan Kats, Jacob Goldberger, Hayit Greenspan
This paper explores the use of a soft ground-truth mask ("soft mask'') to train a Fully Convolutional Neural Network (FCNN) for segmentation of Multiple Sclerosis (MS) lesions. Det…
A Mixture of Views Network with Applications to the Classification of Breast Microcalcifications
Yaniv Shachor, Hayit Greenspan, Jacob Goldberger
In this paper we examine data fusion methods for multi-view data classification. We present a decision concept which explicitly takes into account the input multi-view structure, w…
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification
Maayan Frid-Adar, Idit Diamant, Eyal Klang +3
Deep learning methods, and in particular convolutional neural networks (CNNs), have led to an enormous breakthrough in a wide range of computer vision tasks, primarily by using lar…